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"# This Python 3 environment comes with many helpful analytics libraries installed\n",
"# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
"# For example, here's several helpful packages to load\n",
"\n",
"import numpy as np # linear algebra\n",
"import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
"\n",
"# Input data files are available in the read-only \"../input/\" directory\n",
"# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
"\n",
"import os\n",
"for dirname, _, filenames in os.walk('/kaggle/input'):\n",
" for filename in filenames:\n",
" print(os.path.join(dirname, filename))\n",
"\n",
"# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
"# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
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"source": [
"# Import necessary libraries\n",
"import numpy as np\n",
"import plotly.graph_objects as go\n",
"import logging\n",
"import random\n",
"\n",
"# Setup logging\n",
"logging.basicConfig(level=logging.INFO, format=\"%(asctime)s - %(message)s\")\n",
"logger = logging.getLogger()\n",
"\n",
"# Step 1: Initialize the Boolean Matrix (Cube)\n",
"def create_rgb_cube(size=20):\n",
" \"\"\"\n",
" Create a 3D Boolean matrix to represent the RGB cube.\n",
" Each cell corresponds to an RGB combination.\n",
" \"\"\"\n",
" logger.info(f\"Initializing RGB cube of size {size}x{size}x{size}.\")\n",
" return np.zeros((size, size, size), dtype=bool)\n",
"\n",
"# Step 2: Activate random cells for testing\n",
"def activate_random_cells(cube, num_cells=5000):\n",
" \"\"\"\n",
" Randomly activate a specified number of cells in the cube.\n",
" \"\"\"\n",
" logger.info(f\"Activating {num_cells} random cells.\")\n",
" size = cube.shape[0]\n",
" for _ in range(num_cells):\n",
" x, y, z = random.randint(0, size - 1), random.randint(0, size - 1), random.randint(0, size - 1)\n",
" cube[x, y, z] = True\n",
" logger.debug(f\"Activated cell at ({x}, {y}, {z}).\")\n",
"\n",
"# Step 3: Visualize the Cube\n",
"def visualize_rgb_cube(cube):\n",
" \"\"\"\n",
" Visualize the RGB cube using Plotly.\n",
" \"\"\"\n",
" logger.info(\"Preparing RGB cube visualization.\")\n",
" \n",
" # Extract active cell coordinates\n",
" x, y, z = np.where(cube)\n",
" size = cube.shape[0]\n",
" \n",
" # Map coordinates to RGB colors\n",
" colors = [f\"rgb({int(255 * xi / size)}, {int(255 * yi / size)}, {int(255 * zi / size)})\"\n",
" for xi, yi, zi in zip(x, y, z)]\n",
" \n",
" # Create scatter plot\n",
" fig = go.Figure(data=[go.Scatter3d(\n",
" x=x, y=y, z=z,\n",
" mode='markers',\n",
" marker=dict(size=5, color=colors, opacity=0.8),\n",
" )])\n",
" fig.update_layout(\n",
" title=\"3D RGB Cube Visualization\",\n",
" scene=dict(\n",
" xaxis_title=\"Red Intensity\",\n",
" yaxis_title=\"Green Intensity\",\n",
" zaxis_title=\"Blue Intensity\",\n",
" )\n",
" )\n",
" fig.show()\n",
"\n",
"# Step 4: Update Cube with State Changes\n",
"def update_cube_state(cube, x, y, z, state=True):\n",
" \"\"\"\n",
" Update the state of a specific cell in the cube.\n",
" \"\"\"\n",
" try:\n",
" cube[x, y, z] = state\n",
" logger.info(f\"Cell at ({x}, {y}, {z}) set to {'Active' if state else 'Inactive'}.\")\n",
" except IndexError as e:\n",
" logger.error(f\"Failed to update cell at ({x}, {y}, {z}): {e}\")\n",
"\n",
"# Step 5: Debugging Example\n",
"def debug_matrix(cube):\n",
" \"\"\"\n",
" Print a summary of the matrix for debugging.\n",
" \"\"\"\n",
" active_cells = np.sum(cube)\n",
" logger.info(f\"Cube Summary: {active_cells} active cells.\")\n",
" return active_cells\n",
"\n",
"# Main Workflow\n",
"if __name__ == \"__main__\":\n",
" # Initialize the cube\n",
" size = 100\n",
" rgb_cube = create_rgb_cube(size)\n",
"\n",
" # Activate random cells\n",
" activate_random_cells(rgb_cube, num_cells=1000)\n",
"\n",
" # Debug and log the state of the matrix\n",
" debug_matrix(rgb_cube)\n",
"\n",
" # Update specific cells\n",
" update_cube_state(rgb_cube, 5, 10, 15, state=True)\n",
" update_cube_state(rgb_cube, 10, 10, 10, state=False)\n",
"\n",
" # Visualize the RGB cube\n",
" visualize_rgb_cube(rgb_cube)"
]
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